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Extract Rules by Using Rough Set and Knowledge-Based NN 被引量:1
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作者 王士同 E.Scott 《Journal of Computer Science & Technology》 SCIE EI CSCD 1998年第3期279-284,共6页
In this paper, rough set theory is used to extract roughly-correct inference rules from information systems. Based on this idea, the learning algorithm ERCR is presented. In order to refine the learned roughly-correct... In this paper, rough set theory is used to extract roughly-correct inference rules from information systems. Based on this idea, the learning algorithm ERCR is presented. In order to refine the learned roughly-correct inference rules, the knowledge-based neural network is used. The method presented here sufficiently combines the advanages of rough set theory and neural network. 展开更多
关键词 rough set theory knowledge-based NN (neural network) knowledge discovery machine learning
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